Evidence map›Paper›PMID 40000520›Full record

ArticleJournal of general internal medicine2025

Impact of Pre-Existing Disability on Long-Term Health Care Use Following Hospitalization for COVID-19: A Population-Based Cohort Study.

Hilary K Brown, Thérèse A Stukel, Hannah Chung, Samantha Lee, Yona Lunsky, Chaim M Bell, Pavlos Bobos, Angela M Cheung, Allan S Detsky, Susie Goulding and 4 more

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Hilary K BrownDepartment of Health & Society, University of Toronto Scarborough, Toronto, Ontario, Canada.
Thérèse A StukelInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Hannah ChungICES, Toronto, Ontario, Canada.
Samantha LeeICES, Toronto, Ontario, Canada.
Yona LunskyICES, Toronto, Ontario, Canada.
Chaim M BellInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Pavlos BobosSchool of Physical Therapy, Western University, London, Ontario, Canada.
Angela M CheungDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Allan S DetskyInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Susie GouldingCOVID Long-Haulers Canada, Toronto, Canada.
Margaret HerridgeDepartment of Medicine, University Health Network, Toronto, Ontario, Canada.
Fahad RazakInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Amol A VermaInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Kieran L QuinnInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada. kieran.quinn@sinaihealth.ca.ORCID 0000-0002-1681-5170

Funding

Canada Research Chairs CRC 2019-00158CIHR GA4 -177772
6 · The paper itself

Abstract

backgroundEmerging evidence shows the lasting impact of SARS-CoV-2 infection on health care use and needs. Policy-makers require data on population-level service use to understand patient needs and health system impacts following hospitalization for COVID-19.

objectiveTo compare health service use within 12 months following hospitalization for COVID-19 among people with and without pre-existing disabilities, and to determine the extent to which such use is related to disability and other risk factors.

designPopulation-based cohort study, Ontario, Canada.

participantsAdults with and without disabilities hospitalized for COVID-19, 01/25/2020-02/28/2022. MAIN MEASURES: We used Poisson regression to model adjusted rate ratios (aRR) of ambulatory care visits, diagnostic testing, emergency department (ED) visits, hospital admissions, and palliative care visits within 1-year post-discharge, comparing patients with and without disabilities. Models were adjusted sequentially for sociodemographic factors, comorbidities, and prior health service use. The importance of each set of covariates in its ability to explain observed associations was determined by calculating relative changes in disability parameter coefficients after each sequential risk-adjustment. KEY

resultsThe cohort included 25,320 patients with disabilities and 15,953 without. In the year after hospitalization for COVID-19, people with disabilities had higher rates of ambulatory care visits, diagnostic tests, ED visits, hospital admissions, and palliative care visits. A significant proportion of these associations was explained by sociodemographic factors, comorbidities, and prior health service use. However, adjusted relative rates associated with disability remained elevated, even after adjustment, for ambulatory care visits (aRR 1.09, 95% CI 1.08, 1.10), diagnostic tests (aRR 1.14, 95% CI 1.12, 1.16), ED visits (aRR 1.25, 95% CI 1.21, 1.29), and hospital admissions (aRR 1.21, 95% CI 1.16, 1.29).

conclusionsThese findings support the need to develop and evaluate models of care for the post-COVID-19 condition that address the needs of people with disabilities.

Indexed as

COVID-19HospitalizationPatient Acceptance of Health CarePersons with DisabilitiesAdultAgedAmbulatory CareCohort StudiesEmergency Service, HospitalFemaleHumansMaleMiddle AgedOntariocohort studiesCOVID-19disabled personspost-acute COVID-19 syndrome

Identifiers

PMID40000520
PMCPMC12586261

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.